Automated Author ProfileTownsley, Joshua
LSE
Townsley, Joshua
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Elite and mass level politics in many Western democracies is increasingly characterised by the expression of negative feelings towards political out-groups. While the existence of these feelings is well-documented, there is little evidence on the consequences of activating political identities during election campaigns. We test whether fundraising emails containing negative or positive political identity cues lead party supporters to donate money via a large pre-registered digital field experiment conducted in collaboration with a British political party. We find that emails containing negative as opposed to positive identity cues lead to a higher number and frequency of donations. We also find that negative identity cues were only effective when paired with an issue identity rather than a traditional party identity cue, resulting in a 15% increase in the probability of donating over the untreated control. Our results provide novel experimental evidence on the behavioural effects of activating identities in real-world political campaigns.
Authors
- Lawall, Katharina ;
- Turnbull-Dugarte, Stuart J. ;
- Foos, Florian ;
- Townsley, Joshua
Elite and mass level politics in many Western democracies is increasingly characterised by the expression of negative feelings towards political out-groups. While the existence of these feelings is well-documented, there is little evidence on the consequences of activating political identities during election campaigns. We test whether fundraising emails containing negative or positive political identity cues lead party supporters to donate money via a large pre-registered digital field experiment conducted in collaboration with a British political party. We find that emails containing negative as opposed to positive identity cues lead to a higher number and frequency of donations. We also find that negative identity cues were only effective when paired with an issue identity rather than a traditional party identity cue, resulting in a 15% increase in the probability of donating over the untreated control. Our results provide novel experimental evidence on the behavioural effects of activating identities in real-world political campaigns.
Authors
- Lawall, Katharina ;
- Turnbull-Dugarte, Stuart J. ;
- Foos, Florian ;
- Townsley, Joshua